https://github.com/vinayakumarr/Network-Intrusion-Detection
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
https://github.com/vinayakumarr/Network-Intrusion-Detection
cybersecurity deep-learning intrusion-detection kdd99 machine-learning network-intrusion-detection network-security nsl-kdd unsw-nb15
Last synced: about 2 months ago
JSON representation
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
- Host: GitHub
- URL: https://github.com/vinayakumarr/Network-Intrusion-Detection
- Owner: vinayakumarr
- Created: 2018-01-18T05:41:37.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-05-08T05:22:40.000Z (about 6 years ago)
- Last Synced: 2024-11-01T11:34:50.309Z (6 months ago)
- Topics: cybersecurity, deep-learning, intrusion-detection, kdd99, machine-learning, network-intrusion-detection, network-security, nsl-kdd, unsw-nb15
- Language: Python
- Homepage:
- Size: 27.3 KB
- Stars: 670
- Watchers: 16
- Forks: 238
- Open Issues: 11
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Network-Intrusion-Detection
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
KDDCup '99': http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html
NSL-KDD: http://www.unb.ca/cic/datasets/nsl.html
UNSW-NB15: https://www.unsw.adfa.edu.au/australian-centre-for-cyber-security/cybersecurity/ADFA-NB15-Datasets/
Please cite the following papers, if you use the code as part of your research
1. R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Applying convolutional neural network for network intrusion detection. ICACCI 2017: 1222-1228
https://ieeexplore.ieee.org/abstract/document/8126009
2. R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluating effectiveness of shallow and deep networks to intrusion detection system. ICACCI 2017: 1282-1289
https://ieeexplore.ieee.org/document/8126018
3. R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran: Evaluation of Recurrent Neural Network and its variants for Intrusion Detection System (IDS)" has accepted in Special Issue On Big Data Searching, Mining, Optimization & Securing (BSMOS) Peer to Peer Cloud Based Networks in IJISMD
https://www.igi-global.com/article/evaluation-of-recurrent-neural-network-and-its-variants-for-intrusion-detection-system-ids/204371
4. Vinayakumar, R., Alazab, M., Soman, K. P., Poornachandran, P., Al-Nemrat, A., & Venkatraman, S. (2019). Deep Learning Approach for Intelligent Intrusion Detection System. IEEE Access, 7, 41525-41550.
https://ieeexplore.ieee.org/abstract/document/8681044
5. Vinayakumar, R., Soman, K. P., & Poornachandran, P. (2019). A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs): Deep Learning for N-IDSs. International Journal of Digital Crime and Forensics (IJDCF), 11(3), 65-89.
https://www.igi-global.com/article/a-comparative-analysis-of-deep-learning-approaches-for-network-intrusion-detection-systems-n-idss/227640